Development of an informatics platform for therapeutic protein and peptide analytics
The momentum gained by research on biologics has not been met yet with equal thrust on the informatics side. There is a noticeable lack of software for data management that empowers the bench scientists working on the development of biologic therapeutics. SARvision|Biologics is a tool to analyze data associated with biopolymers, including peptides, antibodies, and protein therapeutics programs. The program brings under a single user interface tools to filter, mine, and visualize data as well as those algorithms needed to organize sequences. As part of the data-analysis tools, we introduce two new concepts: mutation cliffs and invariant maps. Invariant maps show the variability of properties when a monomer is maintained constant in a position of the biopolymer. Mutation cliff maps draw attention to pairs of sequences where a single or limited number of point mutations elicit a large change in a property of interest. We illustrate the program and its applications using a peptide data set collected from the literature.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2013 |
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| Erschienen: |
2013 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:53 |
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| Enthalten in: |
Journal of chemical information and modeling - 53(2013), 10 vom: 28. Okt., Seite 2774-9 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hansen, Mark R [VerfasserIn] |
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| Links: |
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| Themen: |
Anti-Bacterial Agents |
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| Anmerkungen: |
Date Completed 06.06.2014 Date Revised 28.10.2013 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1021/ci400333x |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a The momentum gained by research on biologics has not been met yet with equal thrust on the informatics side. There is a noticeable lack of software for data management that empowers the bench scientists working on the development of biologic therapeutics. SARvision|Biologics is a tool to analyze data associated with biopolymers, including peptides, antibodies, and protein therapeutics programs. The program brings under a single user interface tools to filter, mine, and visualize data as well as those algorithms needed to organize sequences. As part of the data-analysis tools, we introduce two new concepts: mutation cliffs and invariant maps. Invariant maps show the variability of properties when a monomer is maintained constant in a position of the biopolymer. Mutation cliff maps draw attention to pairs of sequences where a single or limited number of point mutations elicit a large change in a property of interest. We illustrate the program and its applications using a peptide data set collected from the literature | ||
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| 700 | 1 | |a Villar, Hugo O |e verfasserin |4 aut | |
| 700 | 1 | |a Feyfant, Eric |e verfasserin |4 aut | |
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